Pengembangan Alat Ukur Konsentrasi Hemoglobin Non-Invasif Menggunakan Photoplethysmography dan Berbasis Machine Learning = Development of a Non-Invasive Hemoglobin Concentration Measurement Device Based on Photoplethysmography and Machine Learning

Algoritma Pengolahan Sinyal Photoplethysmography (PPG) Berbasis Ekstraksi Fitur dan Machine Learning untuk Sistem Pengukuran Tekanan Darah Noninvasif = Photoplethysmography (PPG) Signal Processing Algorithm Based on Feature Extraction and Machine Learning for Noninvasive Blood Pressure Measurement System

Rancang Bangun Sistem Deteksi Angka Ganjil Genap pada Plat Nomor Kendaraan Berbasis Machine Learning = Odd Even License Plate Detection System Prototype Development based on Machine Learning

Rancang Bangun Sistem Pengukur Tekanan Darah Noninvasif Secara Wireless dari Sinyal Photoplethysmography (PPG) Menggunakan Sensor MAX30102 = Development of a Wireless Non-invasive Blood Pressure Measurement System from Photoplethysmography (PPG) Signals Using the MAX30102 Sensor

Pengembangan model machine learning dengan deep neural network untuk prediksi kuat tekan beton berdasarkan komposisi rancang campur beton dan properti materialnya = Development of machine learning model with deep neural network for prediction of concrete compressive strength based on concrete mix design composition and material properties